Enhanced SAR Image Generation Using Ego-Motion Estimation Based on Ground Scatterers for Automotive Radar Systems

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Gunhwi Moon;Seongwook Lee;Jeong-Hoon Park;Young-Jun Yoon;Seong-Cheol Kim
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引用次数: 0

Abstract

In this article, we present a novel radar system for estimating ego-motion from the ground-scattered signals and synthetic aperture radar (SAR) imaging based on the estimated ego-motion. Accurate ego-motion estimation is essential to obtain high-resolution SAR images, because the ego-motion determines spatial data sampling interval for SAR image generation. Our proposed method enables accurate ego-motion estimation by using the ground-scattered signals with a single-input–single-output antenna system. We evaluate ego-motion estimation accuracy by comparing the generated SAR images of point targets. The SAR images generated using the proposed ego-motion estimation achieve an improved resolution of 0.284 m, compared with the 0.308-m resolution obtained with Global Navigation Satellite Systems (GNSS) sensor-based ego-motion estimation. We confirm that the proposed method can generate enhanced SAR images using only radar sensors without requiring additional sensors.
基于地面散射体的自运动估计增强汽车雷达SAR图像生成
在本文中,我们提出了一种新的从地面散射信号估计自我运动的雷达系统,并基于估计的自我运动合成孔径雷达(SAR)成像。精确的自运动估计是获得高分辨率SAR图像的关键,因为自运动决定了SAR图像生成的空间数据采样间隔。我们提出的方法利用单输入-单输出天线系统的地面散射信号实现精确的自我运动估计。我们通过比较生成的点目标SAR图像来评估自运动估计的精度。与基于全球导航卫星系统(GNSS)传感器的自运动估计生成的分辨率为0.308 m相比,使用该方法生成的SAR图像的分辨率提高了0.284 m。我们证实,所提出的方法可以产生增强的SAR图像仅使用雷达传感器,而不需要额外的传感器。
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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